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k8s专栏目录
使用
https://github.com/kubernetes/heapster github上的配置启动heapster
目录位置 heapster/deploy/kube-config/influxdb/
E1118 07:05:45.339132 1 reflector.go:203] k8s.io/heapster/metrics/sources/kubelet/kubelet.go:342: Failed to list *api.Node: Get
https://kubernetes.default/api/v1/nodes?resourceVersion=0
: dial tcp: i/o timeout
kubernetes.default 访问不到，实际上是kube-dns出了问题，暂时还没解决。
这边先写死了ip:port来访问的，我的宿主机是192.168.1.138，配置的就是192.168.1.138:6443，就可以访问了。
修改heapster.yaml配置- --source=kubernetes:
https://kubernetes.default 为 - --source=kubernetes:https://192.168.1.138:6443
参考
https://github.com/opsnull/follow-me-install-kubernetes-cluster/issues/173
dns问题目前还没解决
参考
https://github.com/kubernetes/heapster/issues/1658
https://github.com/kubernetes/kubernetes/issues/45479
https://github.com/kubernetes/heapster/issues/1658
https://github.com/kubernetes/heapster/issues/1655
E0409 06:05:27.448890 1 reflector.go:190] k8s.io/heapster/metrics/util/util.go:30: Failed to list *v1.Node: nodes is forbidden: User "system:serviceaccount:kube-system:heapster" cannot list nodes at the cluster scope
缺角色 无权访问
再启动 heapster/deploy/kube-config/rbac/heapster-rbac.yaml
就可以访问了
E0409 07:40:05.082253 1 influxdb.go:208] Failed to create influxdb: Retention Policy creation failed: json: cannot unmarshal number into Go value of type struct { Results []client.Result "json:\"results,omitempty\""; Err string "json:\"error,omitempty\"" }
暂时不知道什么问题
kube top 可以看node 和pod 的资源占用情况 需要预先安装heapster
[root@tensorflow1 ~]# kubectl top
Display Resource (CPU/Memory/Storage) usage.
The top command allows you to see the resource consumption for nodes or pods.
This command requires Heapster to be correctly configured and working on the server.
Available Commands:
node Display Resource (CPU/Memory/Storage) usage of nodes
pod Display Resource (CPU/Memory/Storage) usage of pods
Usage:
kubectl top [options]
Use "kubectl <command> --help" for more information about a given command.
Use "kubectl options" for a list of global command-line options (applies to all commands).
安装失败时
[root@tensorflow1 ~]# kubectl top node
error: metrics not available yet
安装成功时
[root@tensorflow1 rbac]# kubectl top node
NAME CPU(cores) CPU% MEMORY(bytes) MEMORY%
tensorflow0 1046m 26% 1759Mi 22%
tensorflow1 211m 5% 3237Mi 42%
tensorflow2 61m 1% 1406Mi 18%
参考
https://github.com/kubernetes/kubernetes/pull/58289
